Evidence map›Paper›PMID 42495593›Full record

ArticleSAGE open medicine2026

Disparities in the quality of care in patients with empty sella based on etiology: A cross-sectional study from Saudi Arabia.

Abrar Alfaifi, Amal Alturkistani, Fatimah Altaleb, Nouf Aboalsamh, Mussa H Almalki

Abstract read
In one paragraph

Article in SAGE open medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Abrar AlfaifiObesity, Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0001-6375-7113
Amal AlturkistaniObesity, Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia.
Fatimah AltalebObesity, Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia.
Nouf AboalsamhObesity, Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia.ORCID https://orcid.org/0009-0005-1510-1773
Mussa H AlmalkiObesity, Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Empty sella (ES) is characterized by the replacement of pituitary tissue with cerebrospinal fluid (CSF) in the sella turcica. Despite its frequency in clinical settings, ES is often underrecognized and incompletely evaluated. The aim of this study was to examine patterns of care and potential disparities across different ES etiologies. Methods: This retrospective cross-sectional study aimed to evaluate differences in hormonal assessment and referral patterns among patients with various etiologies of empty sella. All patients aged ≥14 years diagnosed with ES between February 2021 and December 2022 at King Fahad Medical City (KFMC), Riyadh, Saudi Arabia, were included. Relevant data were extracted from electronic medical records, and comparisons of hormonal assessment were made based on etiology and reason for endocrine referral. Results: Among 287 patients (75.3% female, mean age 49.7 years), 84.6% had primary ES. Only 29.9% were referred to endocrinology (52.4% for ES-specific evaluation). Secondary ES patients received more comprehensive hormonal assessments than primary ES ( Conclusions: Significant disparities exist in ES management, driven by etiology and referral intent. Standardized referral pathway and universal screening are essential to improve care.

Indexed as

cerebrospinal fluidempty sellaheadachehypopituitarismobesitypituitary dysfunction

Identifiers

PMID42495593
PMCPMC13392326

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.